Conversion Rate Optimisation Audit
A conversion rate optimisation audit establishes why commercially valuable journeys break before teams change pages or launch tests. It separates observed friction from tracking failure, traffic quality, proposition, qualification and sales-handoff problems.
The output is a defensible sequence of decisions: what the evidence supports, what still needs to be measured, what should be tested first and what should not be changed yet.
What a conversion audit examines
User paths
How visitors actually move from entry to conversion, where they hesitate, and where they abandon.
Common issues
- Unclear paths to conversion
- Too many steps to complete actions
- Confusing navigation patterns
- Drop-offs at unexpected points
Form completion
How forms are structured, what fields cause abandonment, and whether validation helps or hinders.
Common issues
- Too many required fields
- Confusing error messages
- Mobile form usability issues
- No progress indicators
Calls-to-action
Whether CTAs are visible, compelling, and aligned with user intent at each stage.
Common issues
- Weak or unclear button copy
- CTAs below the fold
- Competing calls-to-action
- Inconsistent styling
Analytics accuracy
Whether your tracking captures actual user behaviour and conversions are attributed correctly.
Common issues
- Broken or missing tracking
- Incorrect goal configuration
- Cross-domain tracking failures
- Bot traffic inflating metrics
Page effectiveness
How landing pages perform against expectations and whether content matches visitor intent.
Common issues
- High bounce rates on key pages
- Content-intent mismatch
- Slow loading affecting engagement
- Poor mobile experiences
Conversion bottlenecks
The specific points in your funnel where the highest value is lost.
Common issues
- Pricing page abandonment
- Cart abandonment patterns
- Registration friction
- Final step drop-offs
What a conversion audit service should establish
A conversion rate optimisation audit should create a decision base, not a long list of preferences. We examine how people reach the site, what they see, how they move between steps and whether the measurement is trustworthy. The purpose is to separate observable friction from assumptions and identify where intervention is commercially justified.
When a conversion rate optimisation audit is justified
The audit is useful when the business can see a commercially important gap but cannot explain it with enough confidence to choose the right intervention. A lower conversion rate is not, by itself, a diagnosis.
Performance changed without an agreed cause
Conversion, completion or revenue per visit moved after changes in traffic, pricing, product, measurement or the customer journey. Several explanations remain plausible and each would require a different response.
Teams disagree about where the loss occurs
Marketing points to the website, product points to traffic quality, sales points to lead quality and analytics points to incomplete data. The audit creates one evidence boundary across those accounts.
A redesign or testing programme is being proposed
The organisation is ready to spend money changing pages but has not established which friction is observable, which is assumed and which sits outside the interface.
The aggregate hides a material segment
Device, market, product, customer type or acquisition source behaves differently from the reported average. The business needs to know whether the gap is valuable enough and controllable enough to address.
Evidence reviewed
Behaviour and measurement
Event definitions, funnel data, device and market differences, form or checkout completion, attribution boundaries and the gaps that prevent a reliable reading.
Customer journeys
The routes taken by new and returning visitors, the information required before action, points of hesitation and the steps where commercially valuable users leave.
Page and proposition
Whether landing pages answer the promise that brought the visitor, make the next step clear and provide enough evidence for the decision being asked of them.
Commercial context
Lead quality, order value, margin, qualification rules and sales handoff. A higher conversion rate is not useful when it produces more of the wrong outcome.
What you receive
Evidence register
A clear record of what the available data supports, where it conflicts and which conclusions remain assumptions because the necessary evidence does not exist.
Prioritised friction map
The points where value is most likely being lost, separated from cosmetic observations and ranked by commercial consequence, confidence and dependency.
Action sequence
A practical order for changes and tests, including what must be corrected first, what can run in parallel and what should not be changed yet.
Measurement conditions
The events, segments and comparison periods needed to judge whether a change improved customer behaviour and commercial performance rather than a dashboard metric alone.
A decision-led conversion audit framework
The work is sequenced so that weak measurement or a false commercial premise is found before it contaminates recommendations. The exact evidence varies by business, but the decision order should remain disciplined.
- 01
Define the valuable action
Agree what counts as a commercially useful conversion. A form fill, trial, order or booked call is not automatically valuable. Qualification, margin, order quality, retention and sales acceptance may change the answer.
- 02
Test the measurement boundary
Verify event definitions, consent effects, missing steps, duplicated events, cross-domain behaviour and the denominator behind each rate. Where the data cannot support a conclusion, record the limitation instead of manufacturing precision.
- 03
Segment before explaining
Separate device, market, source, landing page, customer type, product and journey stage where the available evidence permits it. Blended rates are retained for context but are not allowed to hide a concentrated loss.
- 04
Reconstruct the journey
Follow the information, decisions and commitments required from the first relevant entry point to completion. Compare the intended route with the routes people actually take, including returns, loops and exits.
- 05
Classify the constraint
Distinguish interface friction from proposition, traffic, pricing, trust, product availability, qualification, operational or sales-handoff problems. This prevents a CRO backlog becoming a substitute for the intervention the evidence requires.
- 06
Sequence changes and tests
Rank actions by commercial consequence, confidence, dependency and reversibility. Define the evidence needed to judge each intervention and stop low-confidence cosmetic changes from competing with structural corrections.
Questions the audit should answer
- Which conversion definition reflects commercial value rather than convenient measurement?
- Where does the evidence show a real loss, and where does it show only a reporting gap?
- Which customer or journey segments account for the material difference?
- Is the constraint on the page, upstream in acquisition, or downstream in qualification and fulfilment?
- What must be corrected before a test can produce a reliable result?
- Which proposed changes should be rejected because the evidence does not justify them?
Testing follows diagnosis
A/B testing is useful when the decision, audience, event and success condition are defined and the available volume can support a reliable comparison. It is not a remedy for broken measurement, mixed traffic intent or an unclear proposition. Where a controlled test is appropriate, the audit specifies the hypothesis, primary commercial measure, guardrail measures, affected segment and stopping condition. Where it is not, the recommendation should say so.
The audit must survive commercial scrutiny
A conversion recommendation should be explainable to the people who own revenue, margin, customer experience, product, technology and sales capacity. That means showing the source evidence, assumptions, exclusions and dependencies behind it. The strongest output is not the largest backlog. It is the smallest defensible sequence that addresses the material loss without creating a new one elsewhere.
What the audit cannot prove on its own
A website conversion audit cannot establish that more conversions will create profitable growth, that a redesign will solve a weak proposition or that every point of friction should be removed. Some friction qualifies customers. Some apparent conversion problems begin with traffic quality, pricing, product fit or the sales process. The audit identifies what the website evidence supports and where the problem crosses into the wider commercial system. It does not guarantee an uplift or turn incomplete evidence into certainty.
Common conversion problems
Measurement cannot support the diagnosis
Events, consent, attribution or cross-domain tracking fail before the point being analysed.
Why it matters: The reported drop-off may be a measurement artefact rather than customer behaviour.
Mobile friction is hidden by the average
Forms and checkouts are reported as one blended conversion rate across devices.
Why it matters: A material mobile problem can remain invisible while the aggregate appears stable.
The page answers a different decision
The landing page fulfils the campaign brief but not the question or risk that brought the visitor.
Why it matters: Testing interface details will not correct a proposition or intent mismatch.
Every abandonment is treated as a loss
The analysis assumes that all friction is harmful and every completed action has equal commercial value.
Why it matters: Removing useful qualification can increase volume while reducing lead quality, margin or sales capacity.
Part of the wider Marketing MRI
A conversion audit tells you where users drop off. It does not tell you whether you are attracting the right users, or whether what you are converting them to is commercially valuable.
- Conversion problems often have upstream causes: wrong traffic sources, misaligned messaging, or unclear value propositions that no amount of CRO will fix.
- Optimising conversion without fixing the lead quality problem means converting more of the wrong people.
- Some friction is intentional: qualification forms should filter, not just convert.
The Marketing MRI examines conversion alongside five other domains: channels and reporting, attribution, sales handoff, user experience, and team capability. Conversion rate is one metric in a larger system.
Learn about Marketing MRIConversion is commercial
If visitors are not converting, that is worth understanding. But if you suspect the problem is systemic, not just CRO, you need a broader examination.